ISSN:
1540-5915
Quelle:
Blackwell Publishing Journal Backfiles 1879-2005
Thema:
Wirtschaftswissenschaften
Notizen:
Building models of expert decision-making behavior from examples of experts’ decisions continues to receive considerable research attention. In the 1960's and 70's, linear models derived by statistical methods were studied extensively. More recently, rule-based expert systems derived by induction algorithms have been the focus of attention. Few studies compare the two approaches. This paper reports on a study that compared linear models derived by logistic regression with rule-based systems produced by two induction algorithms—ID3 and the genetic algorithm. The techniques performed comparably in modeling the experts at one task, graduate admissions, but differed significantly at a second task, bidder selection.
Materialart:
Digitale Medien
URL:
http://dx.doi.org/10.1111/j.1540-5915.1992.tb00412.x
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